• Title/Summary/Keyword: speed of objects

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East 3-Dimensional Shape Reconstruction Using Phase-Shifting Grating Projection Moire Method (위상천이 영사식 모아레법을 이용한 고속 3차원 형상복원)

  • 최이배;구본기;정연구
    • Proceedings of the Korean Society for Emotion and Sensibility Conference
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    • 1998.11a
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    • pp.111-115
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    • 1998
  • A phase-shifting projection moire method particularly intended for high-speed three-dimensional shape reconstruction of diffuse objects is presented. Emphasis is on realization of phase-shifting fringe analysis in projection moire topography using a set of line grating pairs designed to provide different phase shifts in sequence. Further a time-integral fringe capturing scheme is devised to remove undesirable high frequency original grating patterns in real-time without time-consuming software image processing. Finally the performances of the proposed method are discussed with measurement results.

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Trends on Visual Object Tracking Using Siamese Network (Siamese 네트워크 기반 영상 객체 추적 기술 동향)

  • Oh, J.;Lee, J.
    • Electronics and Telecommunications Trends
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    • v.37 no.1
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    • pp.73-83
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    • 2022
  • Visual object tracking can be utilized in various applications and has attracted considerable attention in the field of computer vision. Visual object tracking technology is classified in various ways based on the number of tracking objects and the methodologies employed for tracking algorithms. This report briefly introduces the visual object tracking challenge that contributes to the development of single object tracking technology. Furthermore, we review ten Siamese network-based algorithms that have attracted attention, owing to their high tracking speed (despite the use of neural networks). In addition, we discuss the prospects of the Siamese network-based object tracking algorithms.

A Fast Semiautomatic Video Object Tracking Algorithm (고속의 세미오토매틱 비디오객체 추적 알고리즘)

  • Lee, Jong-Won;Kim, Jin-Sang;Cho, Won-Kyung
    • Proceedings of the KIEE Conference
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    • 2004.11c
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    • pp.291-294
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    • 2004
  • Semantic video object extraction is important for tracking meaningful objects in video and object-based video coding. We propose a fast semiautomatic video object extraction algorithm which combines a watershed segmentation schemes and chamfer distance transform. Initial object boundaries in the first frame are defined by a human before the tracking, and fast video object tracking can be achieved by tracking only motion-detected regions in a video frame. Experimental results shows that the boundaries of tracking video object arc close to real video object boundaries and the proposed algorithm is promising in terms of speed.

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Obstacle Detection System For Automated Container Terminal (자동화 항만용 장애물 감지 시스템)

  • 박경택;박찬훈;강병수
    • Proceedings of the Korean Society of Precision Engineering Conference
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    • 2002.05a
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    • pp.487-490
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    • 2002
  • AGV is very useful equipment to transfer containers in automated container terminal. AGV must have Obstacle Detection System (ODS) fur port automation. ODS needs the function to classify some specified object from background in acquired data. And it must be able to track classified moving objects. Finally, ODS could determine its next action for safe deriving whether it should do emergency stop or speed down, or it should change its deriving lane. For these functions, ODS can have many different kinds of algorithm. In this paper, we present one of them under developing.

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Active omni-directional range sensor for mobile robot navigation (이동 로봇의 자율주행을 위한 전방향 능동거리 센서)

  • 정인수;조형석
    • 제어로봇시스템학회:학술대회논문집
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    • 1996.10b
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    • pp.824-827
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    • 1996
  • Most autonomous mobile robots view things only in front of them. As a result, they may collide against objects moving from the side or behind. To overcome the problem we have built an Active Omni-directional Range Sensor that can obtain omnidirectional depth data by a laser conic plane and a conic mirror. In the navigation of the mobile robot, the proposed sensor system makes a laser conic plane by rotating the laser point source at high speed and achieves two dimensional depth map, in real time, once an image capture. The experimental results show that the proposed sensor system provides the best potential for navigation of the mobile robot in uncertain environment.

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Indoor navigation system using glaser stream sensor (지레이져 스트림 센서를 사용한 실내 네비게이션 시스템)

  • Lee, Ki-Dong;Lim, Joon-Hong
    • Proceedings of the KIEE Conference
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    • 2008.07a
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    • pp.1731-1732
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    • 2008
  • Recently, many researchers have developed various service robots, in which the position estimation and path following of mobile objects have been raised an important problem. We should know where a mobile robot so that there are many introduced localization and path following schemes. In this paper, we propose an efficient localization algorithm for the precise localization of a mobile robot with the glaser stream sensor. We use the glaser stream sensor for following a given path in indoor environments. Since the glaser stream sensor utilizes precise optical motion estimation technology, we can achieve high speed motion detection and high resolution. The experimental results show that the glaser stream sensor may be a good sensor for many indoor service robots.

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A Study on 3-D Shape Measurement and Application by using Digital Projection $Moir\acute{e}$ ( I ) (디지털 영사식 무아레를 이용한 3차원 형상 측정과 응용에 관한 연구( I ))

  • Ryu Weon-Jae;Rho Hyung-Min;Lee Dong-Hwan;Kang Young-June
    • Journal of the Korean Society for Precision Engineering
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    • v.22 no.7 s.172
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    • pp.88-93
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    • 2005
  • $Moir\acute{e}$ topography method is a well-known non-contacting 3-D measurement method. Recently, the automatic 3-D measurement by $Moir\acute{e}$ topography has been required, since the method was frequently applied to the engineering and medical fields. The 3-D measurement using projection $Moir\acute{e}$ topography is very attractive because of its high measuring speed and high sensitivity. In this paper, using two-wavelength method of projection $Moir\acute{e}$ topography was tested to measuring object with $2\pi-ambiguity$ problems. The experimental results prove that the proposed scheme is capable of finding absolute fringe orders, so that the $2\pi-ambiguity$ problems can be effectively overcome so as to treat large step discontinuities in measured objects.

Vehicle DSP (FPGA) based Object Recognition Technology (차량용 DSP(FPGA) 기반 객체인식 기술)

  • Shin, Seong-Yoon;Cho, Seung-Pyo;Shin, Kwang-Seong;Lee, Hyun-Chang
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2022.05a
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    • pp.674-675
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    • 2022
  • In this paper, we present a DPS (FPGA)-based object recognition method that can recognize objects (pedestrians, bicycles, motorcycles) located in the vehicle's blind spot while the vehicle is stopped or driving at low speed and has a fast object recognition performance of 30 frames per second.

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Physical Experiments and Computer Simulations for Large Deformation Problems (대변형문제의 컴퓨터 시뮬레이션과 실험)

  • Yoo, Wan-Suk;Dmitrochenko, Oleg;Park, Su-Jin;Moon, Sang-Hyuk
    • Proceedings of the Korean Society for Noise and Vibration Engineering Conference
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    • 2005.05a
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    • pp.644-647
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    • 2005
  • In this paper, computer simulations with the absolute nodal coordinate formulation for large deformation problems in flexible multibody dynamics are compared to the real experiments. A high speed camera was employed to capture the deformed shapes of a thin beam, a plate, a rotating chain, and a paper strip. The measured data was used to calculate precise values for stiffness and damping ratio of the objects. Also a rotating strip and a helicoseir problem were formulated for computer simulation, and the computational results are also compared to the experiments.

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Obstacle Detection System of AGV for Automated Container Terminal (항만 자동화를 위한 AGV의 장애물 감지 시스템)

  • 김두형;강병수;박찬훈;박경택
    • Proceedings of the Korean Society of Precision Engineering Conference
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    • 1997.10a
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    • pp.467-471
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    • 1997
  • AGV is very proper equipment for Port Automation. AGV must have Obstacle Detection System(ODS) for port automation. Obstacle Detection System must have some functions. It must be able to classify some specified object from background data. And it must be able to track classified objects. Finally, ODS must determine its next action for safe cruise whether it must do emergency stop or it must speed down or it must change it track. For these functions, ODS can have many different structure. In this paper, we will propose one structure among some possible own which is under construction.

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